EyeLevel.ai

The World’s Most Accurate RAG—Now in Your Data Center 🚀 RAG (Retrieval-Augmented Generation) is reshaping how enterprises integrate private data with LLMs. But let’s be honest—most first-gen RAG tools aren’t ready for enterprise-scale demands. 🔍 They struggle with accuracy, can’t handle scaling without performance drops, and aren’t built to meet security requirements for on-premises or air-gapped environments. Enter GroundX RAG on Prem. ✨ Built for Enterprise. Powered by Open Source. GroundX is the only RAG platform designed on Kubernetes and fine-tuned open-source models. It’s ready to scale, secure, and thrive in your data center. 💾 Air-Gapped and On-Prem Ready. GroundX runs fully offline, integrating with high-performance workloads using Kubernetes-native features like CPU/GPU pods and essential AI infrastructure: MySQL, Redis, OpenSearch, Kafka, and MinIO. 📈 Scalable and Accurate at Scale. Unlike vector-based systems, GroundX doesn’t lose accuracy as workloads grow. In fact, it outperformed Pinecone in accuracy during a head-to-head study. Ready to bring enterprise-grade RAG into your data center? Let’s make it happen. https://lnkd.in/eVEtdBPd #AI #RAG #EnterpriseAI #Kubernetes #OnPrem #LLM

🚀 GroundX On-Prem is Here: RAG Built for the Enterprise 🌍 Tired of choosing between innovation and security? With GroundX On-Prem, you no longer have to. EyeLevel has officially launched the world’s most secure, scalable, and accurate Retrieval-Augmented Generation (RAG) solution, now open-source and deployable entirely on-premises. Built for industries like finance, healthcare, government, and defense, GroundX On-Prem is designed to meet the strictest security and compliance requirements—all while delivering enterprise-grade performance that just works. 💡 Why it matters: 🔒 Keep your data 100% on-site—no external APIs. 📈 Scale effortlessly to handle real-world enterprise needs. ⚙️ Open-source flexibility for any infrastructure. As Co-Founder Neil Katz puts it: “On-prem RAG isn’t optional anymore—it’s a necessity for industries where security and compliance come first. GroundX On-Prem combines unmatched security with enterprise scalability, whether you’re in a financial institution or an air-gapped classified facility.” Ready to explore the next evolution in RAG? 🧿 Learn more at eyelevel.ai

GroundX RAG On-Prem: The Next Evolution in Enterprise Grade RAG from EyeLevel Building advanced Retrieval-Augmented Generation (RAG) systems is hard. Making them secure, scalable, and on-premises for regulated industries? That’s a whole new level of complexity. That’s why we’re thrilled to share our latest episode of RAG Masters, where we unveil something groundbreaking: 🔑 GroundX On-Prem — An open-source beta release that lets you deploy enterprise-grade RAG with 10 lines of code. Yes, you read that right. 🌟 What’s in the episode? • The challenges of deploying secure RAG systems in healthcare, finance, and defense. • Why air-gapped, on-prem RAG solutions are game-changers. • A step-by-step guide to setting up GroundEx On-Prem in AWS (or any Kubernetes-based setup). • A live demo showcasing how even small LLMs can deliver big results with the right RAG pipeline. This episode is packed with insights for anyone working on enterprise AI, secure systems, or retrieval-based LLM applications. 🎥 Watch the full episode on YouTube: Link in comments We’d love to hear your thoughts: Drop a comment or DM us—we’re always up for a conversation! #AI #EnterpriseAI #RAG #RetrievalAugmentedGeneration #GroundEx #Innovation #TechLeadership

🎙️ Voice AI is stepping out of the shadows of black-box systems, and this approach shows exactly how. Imagine a voice assistant that doesn’t just “chat” but genuinely understands your needs, retrieves precise information, and responds instantly. By combining state-of-the-art speech processing (thank you, OpenAI Whisper!) with smart retrieval tools that can dig into complex documents and find exactly the right page or figure, this setup goes beyond surface-level interaction. It’s designed to deliver accurate, lightning-fast responses—all while being flexible enough to adapt as tech evolves. This isn’t about just building another chatbot. 🗣️ It’s about creating voice AI systems that feel more intuitive and helpful than ever. It's Voice + RAG. 🧠 🔗 Links to the Full Episode in the Comments.

🎯 Evaluating RAG Systems Just Got Smarter Evaluating Retrieval-Augmented Generation (RAG) pipelines has always been a massive challenge. From parsing documents to generating reliable QA pairs for testing, the process is full of bottlenecks. Honestly, sometimes testing takes longer than building the RAG system itself. At EyeLevel.ai, we’ve created a new approach to tackle this. In our latest episode of RAG Masters, we reveal a groundbreaking method that combines automation with just the right amount of human-in-the-loop feedback. Here’s the gist: ✅ Automatically generate high-quality question-answer pairs, even for massive document sets. ✅ Leverage LLMs to assess the accuracy of RAG outputs against these QA pairs—fast and standardized. ✅ Visualize every step with document and bounding box-level granularity to ensure nothing gets lost in translation. This isn’t just about making evaluations easier; it’s about ensuring your RAG system performs reliably for your specific use case. Whether you’re working with 10 documents or 10 million, having a robust way to compare RAG systems head-to-head is a game changer. Try GroundX today at https://www.eyelevel.ai/ ⏯️ And check out the Full RAG Eval episode on YouTube: https://lnkd.in/ePDkAnDz #RAG #LLM #AI #RetrievalAugmentedGeneration #Innovation

Evaluating RAG just got a whole lot easier. 🧠⚙️ Here’s how we’re doing it. — When it comes to RAG (Retrieval-Augmented Generation), evaluating performance has always been… tricky. Sure, we have some metrics, but capturing how well a system really works in the wild? That’s been more of an art than a science. Until now. At EyeLevel.ai, we’ve developed a new approach, and it’s all about making the LLM itself the judge. Here’s how it works: 1️⃣ Pose a question. 2️⃣ Establish the ground truth—an answer you know is correct. 3️⃣ Have your RAG system attempt to answer the question. 4️⃣ Ask the LLM to compare: Does the RAG output match the ground truth? While it’s not perfect, this framework is fast, scalable, and uncovers how well your RAG pipeline performs across the board. What makes this particularly exciting is how it opens the door to evaluating not just answers but the entire chain of reasoning in a RAG system. And it’s helping us rethink how we assess everything from parsing to retrieval quality. So, is this the future of RAG evaluation? We think so. Let’s start the conversation—what challenges have you faced in measuring RAG success? 👇 Link to watch the full episode in the comments. 👇 #AI #RAG #LLM #Innovation #Evaluation

🔍 RAG Evaluation: A Data-Driven Approach Want to know if your RAG system is actually performing? Here's a practical method we've been using: Run a set of real-world questions through multiple RAG systems, then let an LLM be your judge. It's like a blind taste test, but for AI responses. 👁️ The magic happens when you compare results: System A might hit 80% accuracy while System B reaches 90%. No guesswork, just clear performance metrics.📊 👨💻 Full RAG Eval episode on YouTube- Link in the comments 🔗 What metrics do you prioritize when evaluating RAG systems? #AI #RAG #DataScience #AIEngineering

🛠️ RAG On-Prem. Built on Kubernetes, fine-tuned open source models, and battle-tested on 2B+ tokens. 🧿 GroundX has made waves with clients like Air France and Dartmouth, and so far, we’ve processed over 2 billion tokens of data! And now, with Enterprise Grade RAG On Prem— it's designed from the ground up for secure, closed environments. Our API's offer the same high-performance RAG (Retrieval-Augmented Generation) capabilities but fully deployable behind your firewall. We built this for organizations where security isn’t optional but essential—think finance, healthcare, and defense. Are you exploring AI solutions for secure environments? Let’s talk about how GroundX On Prem can meet the most demanding requirements. Learn More: https://buff.ly/2DiomCf #EnterpriseAI #RAG #kubernetes #onprem

🚀 Exciting Update from EyeLevel! Today, we’re pulling back the curtain on what powers enterprise-grade RAG for our clients: GroundX. Our GroundX APIs have already seen major adoption, with companies like Air France and Dartmouth leveraging this technology. To date, we’ve processed over 2 billion tokens of data ingest, with more on the way. But the latest news? 🚀 We’re launching GroundX On Prem, built specifically for the most secure environments. With GroundX On Prem, enterprise clients can now run robust RAG pipelines with unparalleled security, scalability, and accuracy—even in air-gapped environments. By “secure,” we mean you could literally run it on a submarine if you needed to. 🌊🔒 Learn more about how we’re taking RAG to new depths for regulated industries. Links to the full RAG Master episode in the comments. #EnterpriseAI #RAG #DataSecurity #GroundX

📚 Building enterprise-grade RAG on real enterprise documents isn't easy. Computer scientist, Santiago has a fantastic explainer and demo video on how EyeLevel's GroundX APIs get you there fast. Link in Comments. #AI #RAG